• DocumentCode
    175685
  • Title

    The design of RF MEMS switch based on adaptive chaotic perturbation particle swarm optimization algorithm

  • Author

    Jun Liang ; Jianxia Liu ; Yan Yang ; Fang Wang

  • Author_Institution
    Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    291
  • Lastpage
    296
  • Abstract
    In view of the complexity, relevance, and tedious design process in the traditional design of a radio frequency MEMS switch, a unique design idea, which adopts Adaptive Chaotic Perturbation Particle Swarm Optimization, is proposed. Subsequently, this improved algorithm is applied to research the electrical property of a high-frequency switch, which simplifies its design process. Finally, the optimized model of the high-frequency switch is used to verify the mechanical property by using ANSYS simulation software. The results indicate that the idea with ACPPSO is rational and shows high properties.
  • Keywords
    microswitches; particle swarm optimisation; ACPPSO; ANSYS simulation software; RF MEMS switch design; adaptive chaotic perturbation particle swarm optimization algorithm; design process; electrical property; high-frequency switch; mechanical property; optimized model; radiofrequency MEMS switch; Algorithm design and analysis; Aluminum; Mechanical factors; Microswitches; Radio frequency; Switching circuits; Adaptive Chaotic Perturbation Particle Swarm Optimization (ACPPSO); HFSS; MATLAB; RF MEMS switch; electrical property;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2014 10th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4799-5150-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2014.6975850
  • Filename
    6975850